Juan M. Fernández-Luna
Information Systems · 2010–2017
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 16 citations into it; #6,659 of 8,771 by trust here, #5,713 by citations
- Artificial Intelligence — 10 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it; #17,531 of 21,575 by trust here, #16,367 by citations
- Management Science and Operations Research — 5 citations into it
Whom Juan M. Fernández-Luna trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robin D. Burke
- Michael J. Pazzani
- Thomas Hofmann
- Jonathan L. Herlocker
- Raymond J. Mooney
- J. Konstan
- Gediminas Adomavicius
- Asela Gunawardana
- Justin Basilico
- Koji Miyahara
Who trusts Juan M. Fernández-Luna overall
Papers from Juan M. Fernández-Luna's perspective
Ordered by how strongly the researchers Juan M. Fernández-Luna trusts endorse each paper. Same corpus, a different order for every researcher.
- Empirical Analysis of Predictive Algorithms for Collaborative Filtering
- Content-based book recommending using learning for text categorization
- Item-based collaborative filtering recommendation algorithms
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
- Evaluating collaborative filtering recommender systems
- Content-boosted collaborative filtering for improved recommendations
- An algorithmic framework for performing collaborative filtering
- Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments (Conference on Uncertainty in Artificial Intelligence)
- A Framework for Collaborative, Content-Based and Demographic Filtering
- An open architecture for collaborative filtering of netnews
Their papers
- Lucene4IR (2017) — 27 citations
- Explaining neighborhood-based recommendations (2012) — 16 citations
- Combining content-based and collaborative recommendations: A hybrid approach based on Bayesian networks (2010) — 302 citations